PGKANG's repositories
rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
algorithm-base
专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！
geppy
A framework for gene expression programming (an evolutionary algorithm) in Python
leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
pyrobot
PyRobot: An Open Source Robotics Research Platform
leetcode
😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
smac
SMAC: The StarCraft Multi-Agent Challenge
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
pymarl
Python Multi-Agent Reinforcement Learning framework
coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
gym-pybullet-drones
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
fudanDaily
使用GitHub Actions实现平安复旦全自动打卡
tf2rl
TensorFlow2 Reinforcement Learning
SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
Reinforcement-Learning-in-Robotics
This is a private learning repository for reinforcement learning techniques used in robotics.
gym-miniworld
Simple 3D interior simulator for RL & robotics research
highway-env
A minimalist environment for decision-making in autonomous driving
hello-algorithm
🌍 针对小白的算法训练 | 包括四部分：①.算法基础 ②.力扣图解 ③.大厂面经 ④.CS_汇总 | 附：1、千本开源电子书 2、百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）
youdaonote-pull
📝 一个一键导出 / 备份「有道云笔记」所有笔记的 Python 脚本。 A Python script to export/backup all the notes of the "Youdao Note".
gym-minigrid
Minimalistic gridworld package for OpenAI Gym
rl-agents
Implementations of Reinforcement Learning and Planning algorithms
ElegantRL
Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch. 🔥
annotated_deep_learning_paper_implementations
🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.
ma-gym
A collection of multi agent environments based on OpenAI gym.
StarCraft
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).